Toru Nakashika
Orcid: 0000-0003-1863-6771
According to our database1,
Toru Nakashika
authored at least 48 papers
between 2010 and 2021.
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Bibliography
2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2021
2020
Speech Chain VC: Linking Linguistic and Acoustic Levels via Latent Distinctive Features for RBM-Based Voice Conversion.
IEICE Trans. Inf. Syst., 2020
Proceedings of the Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020
Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra.
Proceedings of the Interspeech 2020, 2020
Simultaneous Conversion of Speaker Identity and Emotion Based on Multiple-Domain Adaptive RBM.
Proceedings of the Interspeech 2020, 2020
Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2019
Complex-Valued Restricted Boltzmann Machine for Speaker-Dependent Speech Parameterization From Complex Spectra.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Pre-Training of DNN-Based Speech Synthesis Based on Bidirectional Conversion between Text and Speech.
IEICE Trans. Inf. Syst., 2019
Non-parallel dictionary learning for voice conversion using non-negative Tucker decomposition.
EURASIP J. Audio Speech Music. Process., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Deep Relational Model: A Joint Probabilistic Model with a Hierarchical Structure for Bidirectional Estimation of Image and Labels.
IEICE Trans. Inf. Syst., 2018
Complex-Valued Restricted Boltzmann Machine for Direct Speech Parameterization from Complex Spectra.
CoRR, 2018
Bidirectional Voice Conversion Based on Joint Training Using Gaussian-Gaussian Deep Relational Model.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018
DNN-based Speech Synthesis for Small Data Sets Considering Bidirectional Speech-Text Conversion.
Proceedings of the Interspeech 2018, 2018
LSTBM: A Novel Sequence Representation of Speech Spectra Using Restricted Boltzmann Machine with Long Short-Term Memory.
Proceedings of the Interspeech 2018, 2018
Parallel-Data-Free Dictionary Learning for Voice Conversion Using Non-Negative Tucker Decomposition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Speaker-adaptive-trainable Boltzmann machine and its application to non-parallel voice conversion.
EURASIP J. Audio Speech Music. Process., 2017
Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra.
Proceedings of the Interspeech 2017, 2017
CAB: An Energy-Based Speaker Clustering Model for Rapid Adaptation in Non-Parallel Voice Conversion.
Proceedings of the Interspeech 2017, 2017
2016
Non-Parallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine.
Proceedings of the Interspeech 2016, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Speaker adaptive model based on Boltzmann machine for non-parallel training in voice conversion.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
3WRBM-based speech factor modeling for arbitrary-source and non-parallel voice conversion.
Proceedings of the 24th European Signal Processing Conference, 2016
Selection of an optimum random matrix using a genetic algorithm for acoustic feature extraction.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016
2015
Voice Conversion Using RNN Pre-Trained by Recurrent Temporal Restricted Boltzmann Machines.
IEEE ACM Trans. Audio Speech Lang. Process., 2015
EURASIP J. Audio Speech Music. Process., 2015
Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization.
EURASIP J. Audio Speech Music. Process., 2015
Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015
Feature extraction using pre-trained convolutive bottleneck nets for dysarthric speech recognition.
Proceedings of the 23rd European Signal Processing Conference, 2015
Noise-robust voice conversion using a small parallel data based on non-negative matrix factorization.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
IEICE Trans. Inf. Syst., 2014
High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion.
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013
Proceedings of the INTERSPEECH 2013, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Local-feature-map Integration Using Convolutional Neural Networks for Music Genre Classification.
Proceedings of the INTERSPEECH 2012, 2012
2011
Constrained Spectrum Generation Using A Probabilistic Spectrum Envelope for Mixed Music Analysis.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
Probabilistic Spectrum Envelope: Categorized Audio-Features Representation for NMF-Based Sound Decomposition.
Proceedings of the INTERSPEECH 2011, 2011
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learning.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the INTERSPEECH 2010, 2010